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SENTIMENT ANALYSIS OF TEXTUAL DATA USING MATRICES AND STACKS FOR PRODUCT REVIEWS

机译:使用产品评论的矩阵和堆栈对文本数据进行情感分析

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The main contribution of the paper is to categorize emotion context from a single or a groupof textual inputs and determine their polarity. The emotional context from each sentence is categorized asa polar output which signifies the positive or negative emotional context. We start with a basic sentenceevaluation function that parses the input and rejects unnecessary words while assigning values to the onesthat are required, based on a simple clause analysis algorithm. These individual values generated arerepresented in a two dimensional matrix where the location within the matrix specifies a certainemotional polarity and this categorization can be used to evaluate individual sentences at each level orgenerate the review of the product as a whole.
机译:本文的主要贡献是对来自单个或一组文本输入的情感环境进行分类,并确定其极性。每个句子的情感环境被归类为极性输出,表示积极或消极的情感环境。我们从一个基本的句子评估功能开始,该功能基于简单的从句分析算法,解析输入并拒绝不必要的单词,同时将值分配给所需的单词。生成的这些单个值以二维矩阵表示,其中矩阵内的位置指定了确定的情感极性,并且此分类可用于评估每个级别的单个句子或生成对产品的整体评价。

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